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We propose a machine learning-enhanced chemistry coordinate mapping (CCM) method that accelerates the integration of detailed chemical kinetics in reactive flow simulations by grouping chemically similar computational cells into clusters/zones within a low-dimensional latent space. Unlike original CCM methods that rely on manually selecting latent variables, our approach automatically discovers co
